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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
PhD
Major
Information Systems | Information Systems Management | Information Technology
Area of study
Information and Communication Technologies
Course Language
English
About Program

Program Overview


The PhD program in Information Systems at UMass Amherst equips students for academic careers in research and teaching. Emphasizing a theory-based approach, the program aims to develop outstanding researchers who produce impactful studies at the intersection of information systems, business, and society. The program offers a comprehensive curriculum, teaching requirements, and research opportunities, preparing students for the competitive academic job market.

Program Outline

The program emphasizes a theory-inspired and practice-engaged approach to research, aiming to understand how individuals, organizations, and communities develop, design, use, and are affected by information systems. The program's objectives include:

  • Developing outstanding researchers and teachers: The program aims to equip students with the necessary skills and knowledge to make substantive contributions to scholarship and knowledge creation.
  • Investigating relevant and interesting IS phenomena: Students are encouraged to explore real-world IS problems grounded in the IS discipline, fostering intellectual curiosity, rigor, critical thinking, and creativity.
  • Producing research that makes a difference: The program focuses on research that can impact theory, practice, and policymaking, targeting the intersection of IS implementation, design, and use with business and societal domains.
  • Preparing students for the IS academic job market: The program offers comprehensive preparation for the academic job market, including exposure to the IS research community through international conferences and on-campus research talks.

Outline:

The PhD program in Information Systems is a 4-5 year program, typically starting in the fall semester. The program structure includes:

  • Coursework: Students must complete 45 credits of coursework, including foundational knowledge in Information Systems and Research Methods.
  • This is followed by minor and elective courses.
  • Core Exam: A first-year core exam (summer paper) is required.
  • Comprehensive Examination: A comprehensive examination is typically taken after completing the second year.
  • Teaching Requirement: Students must complete a 3-course teaching requirement.
  • Dissertation: The program culminates in a dissertation.

Areas of Study:

Research in Information Systems draws from various fields, including:

  • Psychology
  • Sociology
  • Human-Computer Interaction
  • Computer Science
  • Marketing
  • Management
  • Sociology
  • Topics of study include:
  • Theories and concepts in the IS discipline
  • Research methods (experiments, surveys, big data analysis, statistics, econometrics)
  • Domains in the IS discipline (e.g., Human-computer interaction, post-adoptive use, negative psychological, behavioral, and societal effects of IS, algorithmic work, artificial intelligence and related concepts, social media driven phenomenon, and online communities)
  • Theories in psychology, management, and sociology

Assessment:

The program utilizes various assessment methods, including:

  • Core Exam (summer paper)
  • Comprehensive Examination
  • Dissertation
  • Teaching evaluations

Teaching:

The program provides teaching instruction and opportunities to support student development as world-class business instructors.


Careers:

The PhD in Information Systems prepares students for an academic career in scholarly research and university-level teaching.


Other:

The program offers a unique group of world-class faculty who conduct research in various areas, including:

  • Human-computer interaction; decision support systems and online decision-making
  • Website design and signaling; Online consumer impulsiveness; B2C electronic commerce strategy
  • Social media affordances; online reviews; ranking algorithms
  • Societal impacts such as social media driven online activism and social protest
  • Algorithms, AI, bias, and transparency
  • IS use and post-adoptive cognitions, emotions, and behaviors (both negative and positive)
  • Big data analytics use and strategy
  • IS and wellbeing
  • Healthcare systems implementation and use
  • The program also provides:
  • Collaborative and creative intellectual community: The program fosters a supportive environment for doctoral student scholarly development.
  • Individual attention from multiple faculty members: Students receive individual support from faculty members in their early research endeavors and multiple publication opportunities.
  • Exposure to the IS research community: The program supports student participation in international conferences (AMCIS, ICIS, HICSS, ECIS, etc.)
  • and on-campus research talks.
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